{"d627d1373c83b8831d4db9c14e3feadbinspo5":{"DOI":"10.1007/s10237-024-01837-3","ISBN":"","ISSN":"1617-7940","URL":"https://doi.org/10.1007/s10237-024-01837-3","abstract":"Architectural parameters of skeletal muscle such as pennation angle provide valuable information on muscle function, since they can be related to the muscle force generating capacity, fiber packing, and contraction velocity. In this paper, we introduce a 3D ultrasound-based workflow for determining 3D fascicle orientations of skeletal muscles. We used a custom-designed automated motor driven 3D ultrasound scanning system for obtaining 3D ultrasound images. From these, we applied a custom-developed multiscale-vessel enhancement filter-based fascicle detection algorithm and determined muscle volume and pennation angle. We conducted trials on a phantom and on the human tibialis anterior (TA) muscle of 10 healthy subjects in plantarflexion (157 ± 7\\$\\$^\\backslashcirc\\$\\$), neutral position (109 ± 7\\$\\$^\\backslashcirc\\$\\$, corresponding to neutral standing), and one resting position in between (145 ± 6\\$\\$^\\backslashcirc\\$\\$). The results of the phantom trials showed a high accuracy with a mean absolute error of 0.92 ± 0.59\\$\\$^\\backslashcirc\\$\\$. TA pennation angles were significantly different between all positions for the deep muscle compartment; for the superficial compartment, angles are significantly increased for neutral position compared to plantarflexion and resting position. Pennation angles were also significantly different between superficial and deep compartment. The results of constant muscle volumes across the 3 ankle joint angles indicate the suitability of the method for capturing 3D muscle geometry. Absolute pennation angles in our study were slightly lower than recent literature. Decreased pennation angles during plantarflexion are consistent with previous studies. The presented method demonstrates the possibility of determining 3D fascicle orientations of the TA muscle in vivo.","annote":"","author":[{"family":"Sahrmann","given":"Annika S."},{"family":"Vosse","given":"Lukas"},{"family":"Siebert","given":"Tobias"},{"family":"Handsfield","given":"Geoffrey G."},{"family":"Röhrle","given":"Oliver"}],"citation-label":"Sahrmann2024","collection-editor":[{"family":"Siebert","given":"Tobias"}],"collection-title":"","container-author":[{"family":"Siebert","given":"Tobias"}],"container-title":"Biomechanics and Modeling in Mechanobiology","documents":[],"edition":"","editor":[{"family":"Siebert","given":"Tobias"}],"event-date":{"date-parts":[["2024","03","26"]],"literal":"2024"},"event-place":"","id":"d627d1373c83b8831d4db9c14e3feadbinspo5","interhash":"98fb95294493de86e2fff35735a2a27a","intrahash":"d627d1373c83b8831d4db9c14e3feadb","issue":"","issued":{"date-parts":[["2024","03","26"]],"literal":"2024"},"keyword":"Image Skeletal ultrasound 3D Inspo PN2-8 Pennation muscle angle processing Siebert architecture","misc":{"issn":"1617-7940","doi":"10.1007/s10237-024-01837-3"},"note":"","number":"","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"3D ultrasound-based determination of skeletal muscle fascicle orientations","type":"article-journal","username":"inspo5","version":"","volume":""},"109b403efc1ed2df33dbe51dee5053a8inspo5":{"DOI":"10.1016/j.jbiomech.2020.109694","ISBN":"","ISSN":"","URL":"https://doi.org/10.1016%2Fj.jbiomech.2020.109694","abstract":"","annote":"","author":[{"family":"Schenk","given":"Philipp"},{"family":"Papenkort","given":"Stefan"},{"family":"Böl","given":"Markus"},{"family":"Siebert","given":"Tobias"},{"family":"Grassme","given":"Roland"},{"family":"Rode","given":"Christian"}],"citation-label":"Schenk_2020","collection-editor":[{"family":"Siebert","given":"Tobias"}],"collection-title":"","container-author":[{"family":"Siebert","given":"Tobias"}],"container-title":"Journal of Biomechanics","documents":[],"edition":"","editor":[{"family":"Siebert","given":"Tobias"}],"event-date":{"date-parts":[["2020","04"]],"literal":"2020"},"event-place":"","id":"109b403efc1ed2df33dbe51dee5053a8inspo5","interhash":"fdf6fd718e0d6b5993e811c89f5ac2e6","intrahash":"109b403efc1ed2df33dbe51dee5053a8","issue":"","issued":{"date-parts":[["2020","04"]],"literal":"2020"},"keyword":"Pennation angle Rabbit length Muscle model Fascicle architecture soleus","misc":{"doi":"10.1016/j.jbiomech.2020.109694"},"note":"","number":"","page":"109694","page-first":"109694","publisher":"Elsevier BV","publisher-place":"","status":"","title":"A simple geometrical model accounting for 3D muscle architectural changes across muscle lengths","type":"article-journal","username":"inspo5","version":"","volume":"103"},"dda7c7842f8b627c739b615bde678e28inspo5":{"DOI":"10.1038/s41598-020-76625-x","ISBN":"","ISSN":"2045-2322","URL":"https://doi.org/10.1038/s41598-020-76625-x","abstract":"Moment arm-angle functions (MA-a-functions) are commonly used to estimate in vivo muscle forces in humans. However, different MA-a-functions might not only influence the magnitude of the estimated muscle forces but also change the shape of the muscle's estimated force-angle relationship (F-a-r). Therefore, we investigated the influence of different literature based Achilles tendon MA-a-functions on the triceps surae muscle--tendon unit F-a-r. The individual in vivo triceps torque--angle relationship was determined in 14 participants performing maximum voluntary fixed-end plantarflexion contractions from 18.3°þinspace±þinspace3.2° plantarflexion to 24.2°þinspace±þinspace5.1° dorsiflexion on a dynamometer. The resulting F-a-r were calculated using 15 literature-based in vivo Achilles tendon MA-a-functions. MA-a-functions affected the F-a-r shape and magnitude of estimated peak active triceps muscle--tendon unit force. Depending on the MA-a-function used, the triceps was solely operating on the ascending limb (nþinspace=þinspace2), on the ascending limb and plateau region (nþinspace=þinspace12), or on the ascending limb, plateau region and descending limb of the F-a-r (nþinspace=þinspace1). According to our findings, the estimated triceps muscle--tendon unit forces and the shape of the F-a-r are highly dependent on the MA-a-function used. As these functions are affected by many variables, we recommend using individual Achilles tendon MA-a-functions, ideally accounting for contraction intensity-related changes in moment arm magnitude.","annote":"","author":[{"family":"Holzer","given":"Denis"},{"family":"Paternoster","given":"Florian Kurt"},{"family":"Hahn","given":"Daniel"},{"family":"Siebert","given":"Tobias"},{"family":"Seiberl","given":"Wolfgang"}],"citation-label":"Holzer2020","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Scientific Reports","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2020","11","11"]],"literal":"2020"},"event-place":"","id":"dda7c7842f8b627c739b615bde678e28inspo5","interhash":"12a4bf98a06f2d283088a3622f5e5b0d","intrahash":"dda7c7842f8b627c739b615bde678e28","issue":"1","issued":{"date-parts":[["2020","11","11"]],"literal":"2020"},"keyword":"joint maximum range estimation the corresponding muscle of Far angle working force TS on","misc":{"issn":"2045-2322","doi":"10.1038/s41598-020-76625-x"},"note":"","number":"1","page":"19559","page-first":"19559","publisher":"","publisher-place":"","status":"","title":"Considerations on the human Achilles tendon moment arm for in vivo triceps surae muscle--tendon unit force estimates","type":"article-journal","username":"inspo5","version":"","volume":"10"},"ed947ea3f941527dbb669066bc155938inspo5":{"DOI":"https://doi.org/10.1007/s10237-021-01492-y","ISBN":"","ISSN":"","URL":"https://link.springer.com/article/10.1007/s10237-021-01492-y","abstract":"Muscle architecture, which includes parameters like fascicle length, pennation angle, and physiological cross-sectional area, strongly influences skeletal muscles' mechanical properties. During maturation, the muscle architecture has to adapt to a growing organism. This study aimed to develop an architectural model capable of predicting the complete 3D fascicle architecture for primarily unipennate muscles of an arbitrary age, based on fascicle data for an initial age. For model development, we collected novel data on 3D muscle architecture of the rabbit (Oryctolagus cuniculus) M. plantaris of eight animals ranging in age from 29 to 106 days. Experimental results show that plantaris muscle belly length increases by 73%, whereas mean fascicle length and mean pennation angle increases by 39 and 14%, respectively. Those changes were incorporated into the model. In addition to the data collected for M. plantaris the predictions of the model were compared to existing literature data of rabbit M. soleus and M. gastrocnemius medialis. With an error of −1.0 ± 8.6% for relative differences in aponeurosis length, aponeurosis width, muscle height, and muscle mass, the model delivered good results matching interindividual differences. For future studies, the model could be utilized to generate realistic architectural data sets for simulation studies.","annote":"","author":[],"citation-label":"leichsenring2021architectural","collection-editor":[{"family":"Siebert","given":"Tobias"}],"collection-title":"","container-author":[{"family":"Siebert","given":"Tobias"}],"container-title":"Biomechanics and Modeling in Mechanobiology","documents":[],"edition":"","editor":[{"family":"Siebert","given":"Tobias"}],"event-date":{"date-parts":[["2021","07"]],"literal":"2021"},"event-place":"","id":"ed947ea3f941527dbb669066bc155938inspo5","interhash":"458e289e4840dfd9ef33052068cda6f6","intrahash":"ed947ea3f941527dbb669066bc155938","issue":"20","issued":{"date-parts":[["2021","07"]],"literal":"2021"},"keyword":"morphology Aponeurosis Pennation angle length Muscle model Fascicle architecture","misc":{"language":"English","doi":"https://doi.org/10.1007/s10237-021-01492-y"},"note":"","number":"20","number-of-pages":"13","page":"2031–2044","page-first":"2031","publisher":"","publisher-place":"","status":"","title":"Architectural model for muscle growth during maturation.","type":"article-journal","username":"inspo5","version":"","volume":""},"3d83071c7cda47dc4505597be2791325inspo5":{"DOI":"10.1007/s10237-021-01492-y","ISBN":"","ISSN":"1617-7940","URL":"https://doi.org/10.1007/s10237-021-01492-y","abstract":"Muscle architecture, which includes parameters like fascicle length, pennation angle, and physiological cross-sectional area, strongly influences skeletal muscles' mechanical properties. During maturation, the muscle architecture has to adapt to a growing organism. This study aimed to develop an architectural model capable of predicting the complete 3D fascicle architecture for primarily unipennate muscles of an arbitrary age, based on fascicle data for an initial age. For model development, we collected novel data on 3D muscle architecture of the rabbit (Oryctolagus cuniculus) M. plantaris of eight animals ranging in age from 29 to 106 days. Experimental results show that plantaris muscle belly length increases by 73\\%, whereas mean fascicle length and mean pennation angle increases by 39 and 14\\%, respectively. Those changes were incorporated into the model. In addition to the data collected for M. plantaris the predictions of the model were compared to existing literature data of rabbit M. soleus and M. gastrocnemius medialis. With an error of −1.0þinspace±þinspace8.6\\% for relative differences in aponeurosis length, aponeurosis width, muscle height, and muscle mass, the model delivered good results matching interindividual differences. For future studies, the model could be utilized to generate realistic architectural data sets for simulation studies.","annote":"","author":[{"family":"Papenkort","given":"Stefan"},{"family":"Boel","given":"Markus"},{"family":"Siebert","given":"Tobias"}],"citation-label":"Papenkort2021","collection-editor":[{"family":"Siebert","given":"Tobias"}],"collection-title":"","container-author":[{"family":"Siebert","given":"Tobias"}],"container-title":"Biomechanics and Modeling in Mechanobiology","documents":[],"edition":"","editor":[{"family":"Siebert","given":"Tobias"}],"event-date":{"date-parts":[["2021","10","01"]],"literal":"2021"},"event-place":"","id":"3d83071c7cda47dc4505597be2791325inspo5","interhash":"ec21172a48abe9631c89ebcb05ad0767","intrahash":"3d83071c7cda47dc4505597be2791325","issue":"5","issued":{"date-parts":[["2021","10","01"]],"literal":"2021"},"keyword":"morphology Papenkort length Fascicle Inspo Pennation Aponeurosis angle Muscle model Siebert architecture","misc":{"issn":"1617-7940","doi":"10.1007/s10237-021-01492-y"},"note":"","number":"5","number-of-pages":"13","page":"2031--2044","page-first":"2031","publisher":"","publisher-place":"","status":"","title":"Architectural model for muscle growth during maturation","type":"article-journal","username":"inspo5","version":"","volume":"20"},"8f1b8c3d34d6a835eb8d66fd42d347b9inspo5":{"DOI":"10.1016/j.jbiomech.2020.110054","ISBN":"","ISSN":"","URL":"https://doi.org/10.1016%2Fj.jbiomech.2020.110054","abstract":"","annote":"","author":[{"family":"Papenkort","given":"Stefan"},{"family":"Böl","given":"Markus"},{"family":"Siebert","given":"Tobias"}],"citation-label":"Papenkort_2020","collection-editor":[{"family":"Siebert","given":"Tobias"}],"collection-title":"","container-author":[{"family":"Siebert","given":"Tobias"}],"container-title":"Journal of Biomechanics","documents":[],"edition":"","editor":[{"family":"Siebert","given":"Tobias"}],"event-date":{"date-parts":[["2020","11"]],"literal":"2020"},"event-place":"","id":"8f1b8c3d34d6a835eb8d66fd42d347b9inspo5","interhash":"a9c3211f5f0b44b9cf9a45aaa46cdb0a","intrahash":"8f1b8c3d34d6a835eb8d66fd42d347b9","issue":"","issued":{"date-parts":[["2020","11"]],"literal":"2020"},"keyword":"Angle Aponeurosis of pennation geometry length Muscle growth Fascicle curvature","misc":{"doi":"10.1016/j.jbiomech.2020.110054"},"note":"","number":"","page":"110054","page-first":"110054","publisher":"Elsevier BV","publisher-place":"","status":"","title":"Three-dimensional architecture of rabbit M. soleus during growth","type":"article-journal","username":"inspo5","version":"","volume":"112"}}